The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust.
As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment.
We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI.
This role is based in San Francisco, CA.
What you'd do
- Lead programs that explore unexpected model behaviors and identify failure modes.
- Translate vague or emergent risk signals into clear priorities and actionable research plans.
- Design and run creative evaluations, experiments, and red-teaming campaigns.
- Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles.
- Develop repeatable systems for tracking model performance and understanding emerging behavior patterns.
- Have strong experience in technical program management, with excellent organizational and communication skills.
- Are familiar with large language models, prompt engineering, or model evaluation techniques.
- Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up.
- Are creative and resourceful in devising new methods for testing model behavior and performance.
- Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution.